Deliberative Context-Aware Ambient Intelligence System for Assisted Living Homes

[EN] Monitoring wellbeing and stress is one of the problems covered by ambient intelligence, as stress is a significant cause of human illnesses directly affecting our emotional state. The primary aim was to propose a deliberation architecture for an ambient intelligence healthcare application. The...

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Detalles Bibliográficos
Autores: Babli, Mohannad, Rincón-Arango, Jaime Andrés, Onaindia De La Rivaherrera, Eva|||0000-0001-6931-8293, Carrascosa Casamayor, Carlos|||0000-0003-3649-6530, Julian, Vicente|||0000-0002-2743-6037
Tipo de recurso: artículo
Fecha de publicación:2021
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/186995
Acceso en línea:https://riunet.upv.es/handle/10251/186995
Access Level:acceso abierto
Palabra clave:Deliberation
Ambient intelligence
Stress
Emotions
Ontology
Automated planning
Context-Awareness
LENGUAJES Y SISTEMAS INFORMATICOS
Descripción
Sumario:[EN] Monitoring wellbeing and stress is one of the problems covered by ambient intelligence, as stress is a significant cause of human illnesses directly affecting our emotional state. The primary aim was to propose a deliberation architecture for an ambient intelligence healthcare application. The architecture provides a plan for comforting stressed seniors suffering from negative emotions in an assisted living home and executes the plan considering the environment¿s dynamic nature. Literature was reviewed to identify the convergence between deliberation and ambient intelligence and the latter¿s latest healthcare trends. A deliberation function was designed to achieve context-aware dynamic human-robot interaction, perception, planning capabilities, reactivity, and context-awareness with regard to the environment. A number of experimental case studies in a simulated assisted living home scenario were conducted to demonstrate the approach¿s behavior and validity. The proposed methods were validated to show classification accuracy. The validation showed that the deliberation function has effectively achieved its deliberative objectives.